{"id":"W4281901763","doi":"10.3390/jrfm15060235","title":"Economic Growth, Exchange Rate and Remittance Nexus: Evidence from Africa","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Development","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Economics; Remittance; Causality (physics); Granger causality; Exchange rate; Agriculture; Monetary economics; Macroeconomics; Econometrics; International economics; Economic growth; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008640924,0.0001048202,0.0002015246,0.0001459157,0.0002392876,0.0001034839,0.0004205086,0.00001809147,0.00002069384],"category_scores_gemma":[0.00003500867,0.000101929,0.00004307007,0.00009770411,0.00002435869,0.0004508164,0.0006426659,0.0001687742,0.000005573116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090429,"about_ca_system_score_gemma":0.00005047931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000466366,"about_ca_topic_score_gemma":0.00001466824,"domain_scores_codex":[0.9990517,0.00007895289,0.000344848,0.0002380738,0.0001127504,0.0001736015],"domain_scores_gemma":[0.9992846,0.0001167463,0.0003295783,0.0001515511,0.00002148648,0.00009602241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003834856,0.0001396764,0.07177842,0.0001224547,0.0001153059,0.0006991397,0.01769514,0.0005845642,0.00003107262,0.06303003,0.03493511,0.8104856],"study_design_scores_gemma":[0.002002033,0.0005035201,0.5757865,0.0001442492,0.00007436395,0.00007624627,0.0006105022,0.002798399,0.00007407505,0.1327046,0.2846845,0.0005410677],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7788507,0.01565243,0.2000879,0.001331507,0.002161194,0.0002444828,0.00001909422,0.00002553752,0.001627167],"genre_scores_gemma":[0.9748215,0.01002698,0.01454463,0.0002884428,0.0001603431,0.00001278321,3.313553e-7,0.000005587957,0.0001394073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8099445,"threshold_uncertainty_score":0.4156545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107986250204506,"score_gpt":0.1879243270407717,"score_spread":0.1768444645387266,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}